Post-doctoral Fellow, Computational Seismology

Colorado School of Mines

Golden, Colorado, US
$63,000 - $65,000 py
On-site
Python-based edge-computing framework
Distributed acoustic sensing (das) data analysis ecosystem
Hardware system build and testing
The Colorado School of Mines is seeking a Postdoctoral Fellow in Computational Seismology for an 18.7-month position (with a potential extension) focused on developing an edge-computing framework for seismic event monitoring. The ideal candidate will have a PhD in a relevant field, strong Python skills, and experience with large seismic datasets. The role includes research publication, collaboration with partners, and mentoring students

Job Summary

  • The fellow will develop a Python-based edge-computing framework integrated with the Distributed Acoustic Sensing (DAS) Data Analysis Ecosystem, build and test the hardware system in both lab and field settings, and optimize algorithms for real-time performance.
  • Beyond core development work, the fellow will publish research, prepare technical reports and proposals, present findings, and help mentor students and collaborators.
  • Colorado School of Mines offers a robust portfolio of benefits for all employees, including flexible health and dental care options, generous sick/vacation time, and a fully vested retirement plan.

Matching Summary

Match Score: 85

The Colorado School of Mines is seeking a Postdoctoral Fellow in Computational Seismology for an 18.7-month position (with a potential extension) focused on developing an edge-computing framework for seismic event monitoring. The ideal candidate will have a PhD in a relevant field, strong Python skills, and experience with large seismic datasets. The role includes research publication, collaboration with partners, and mentoring students.

Salary

$63,000 - $65,000

Skills & Requirements

Must-have

  • Python-based edge-computing framework
  • Distributed Acoustic Sensing (DAS) Data Analysis Ecosystem
  • Hardware system build and testing
  • Algorithm optimization for real-time performance
  • Strong publication record
  • Open-source software experience

Nice-to-have

  • Machine learning applications in seismic analysis
  • Large seismic array datasets experience
  • Collaboration with research partners
  • Mentoring students and collaborators

Key Requirements

  • PhD in computational science, geophysics, applied math, physics, civil engineering, or related field
  • Currently in the US with current work authorization

Work Rights

Must have current work authorization

Tailored Resume

Cover Letter